/*
    * Licensed to the Apache Software Foundation (ASF) under one or more
    * contributor license agreements.  See the NOTICE file distributed with
    * this work for additional information regarding copyright ownership.
    * The ASF licenses this file to You under the Apache License, Version 2.0
    * (the "License"); you may not use this file except in compliance with
    * the License.  You may obtain a copy of the License at
    *
    *      https://www.apache.org/licenses/LICENSE-2.0
   *
   * Unless required by applicable law or agreed to in writing, software
   * distributed under the License is distributed on an "AS IS" BASIS,
   * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
   * See the License for the specific language governing permissions and
   * limitations under the License.
   */
  
  /*
   * This is not the original file distributed by the Apache Software Foundation
   * It has been modified by the Hipparchus project
   */
  package org.hipparchus.stat.descriptive.summary;
  
  import org.hipparchus.stat.descriptive.StorelessUnivariateStatistic;
  import org.hipparchus.stat.descriptive.StorelessUnivariateStatisticAbstractTest;
  import org.junit.jupiter.api.Test;
  
  import static org.junit.jupiter.api.Assertions.assertEquals;
  import static org.junit.jupiter.api.Assertions.assertFalse;
  import static org.junit.jupiter.api.Assertions.assertTrue;
  
  /**
   * Test cases for the {@code SumLog} class.
   */
  public class SumLogTest extends StorelessUnivariateStatisticAbstractTest {
  
      @Override
      public SumOfLogs getUnivariateStatistic() {
          return new SumOfLogs();
      }
  
      @Override
      public double expectedValue() {
          return this.sumLog;
      }
  
      @Test
      void testSpecialValues() {
          SumOfLogs sum = getUnivariateStatistic();
          // empty
          assertEquals(0, sum.getResult(), 0);
  
          // finite data
          sum.increment(1d);
          assertFalse(Double.isNaN(sum.getResult()));
  
          // add negative infinity
          sum.increment(0d);
          assertEquals(Double.NEGATIVE_INFINITY, sum.getResult(), 0);
  
          // add positive infinity -- should make NaN
          sum.increment(Double.POSITIVE_INFINITY);
          assertTrue(Double.isNaN(sum.getResult()));
  
          // clear
          sum.clear();
          assertEquals(0, sum.getResult(), 0);
  
          // positive infinity by itself
          sum.increment(Double.POSITIVE_INFINITY);
          assertEquals(Double.POSITIVE_INFINITY, sum.getResult(), 0);
  
          // negative value -- should make NaN
          sum.increment(-2d);
          assertTrue(Double.isNaN(sum.getResult()));
      }
  
      @Override
      protected void checkClearValue(StorelessUnivariateStatistic statistic) {
          assertEquals(0, statistic.getResult(), 0);
      }
  
  }